The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 23, 2019

Filed:

Apr. 24, 2017
Applicant:

Comscore, Inc., Reston, VA (US);

Inventors:

Man Jit Singh, Los Angeles, CA (US);

David Cancel, Newburyport, MA (US);

Assignee:

comScore, Inc., Reston, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); H04L 29/08 (2006.01); G06F 17/30 (2006.01); G06F 15/16 (2006.01); G06F 15/17 (2006.01); G06F 16/95 (2019.01); G06Q 20/20 (2012.01); H04H 60/46 (2008.01); G06Q 30/06 (2012.01); H04H 60/45 (2008.01); G06F 16/951 (2019.01); G06F 16/955 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0246 (2013.01); G06F 15/16 (2013.01); G06F 15/17 (2013.01); G06F 16/95 (2019.01); G06Q 20/20 (2013.01); G06Q 20/201 (2013.01); G06Q 20/203 (2013.01); G06Q 20/206 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0204 (2013.01); G06Q 30/0224 (2013.01); G06Q 30/0241 (2013.01); G06Q 30/0243 (2013.01); G06Q 30/0244 (2013.01); G06Q 30/0251 (2013.01); G06Q 30/0633 (2013.01); H04H 60/46 (2013.01); H04L 67/02 (2013.01); H04L 67/146 (2013.01); H04L 67/22 (2013.01); G06F 16/951 (2019.01); G06F 16/9566 (2019.01); H04H 60/45 (2013.01);
Abstract

Methods and systems are provided herein for the analysis of information about online actions of a plurality of users. The analysis methods and systems allow for the modification of online and offline business operations and marketing communications based on online consumer behavior. The methods and systems may obtain an input data set comprising information about online actions of a plurality of users, process the input data set to obtain transformed clickstream data, analyze the transformed clickstream data to identify an order in which each user of the plurality of users views a plurality of product offerings, determine an average order position that a specific product offering of the plurality of product offerings is viewed, and modify an offline or online marketing communication associated with the specific product offering based on the average order position of the specific product offering.


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